Junior Data Engineer
@ Joinrs

Hybrid
$70,000
Hybrid
Full Time
Posted 5 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @canonical.com
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Job Details

Overview

Canonical is seeking graduate-level Junior Data Engineers to join their Marketing team. The role involves data analysis, marketing data stack creation, and team collaboration within a remote working environment in the EMEA region.

What You Will Do

  • Utilise advanced data analytics to increase product adoption.
  • Design experiments with data, visualisation, and insights.
  • Build a marketing data stack using open source tools and integrate with a data mesh.
  • Collaborate with various stakeholder teams including Product, Engineering, and Finance.
  • Maintain systems for self-service data dashboards across the company.

What We Are Looking For

The ideal candidate is passionate about technology and marketing, with skills in data science, statistics, coding/scripting languages such as Python and JS, as well as database tools like SQL. Strong ability in data visualisation tools such as Looker Studio, Tableau, or Apache Superset is essential. Excellent communication, a knack for problem solving, and a willingness to experiment are a must.

Benefits and Perks

  • Competitive base pay determined by experience and location.
  • Personal learning and development budget of 2,000 USD per annum.
  • Annual performance reviews and recognition awards.
  • Comprehensive benefits including parental leave and employee assistance programs.
  • Opportunities for travel to meet colleagues and attend company sprints.

Key Skills/Competency

data analytics, data mining, Python, SQL, marketing, open source, visualization, collaboration, experimentation, automation

How to Get Hired at Joinrs

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analytics and scripting skills.
  • Align with Canonical: Emphasize open source and marketing experience.
  • Research the role: Understand data mesh and visualization tools.
  • Prepare for interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice SQL query exercises.
Study data visualization tool usage.
Understand building data stacks.

Behavioral Questions

Describe a challenging teamwork situation.
Explain how you handle tight deadlines.
Discuss a time you innovated with data.
Share an example of learning from feedback.

Frequently Asked Questions